AVP, Financial Modeling

Wintrust Financial Corporation•Rosemont, IL

6d•$97,739 - $136,500•Hybrid

About The Position

Wintrust is seeking an AVP, Financial Modeling to develop quantitative and econometric models and applications supporting credit risk and market risk assessment and regulatory capital requirements. The role oversees the end-to-end model development process, including assessing model requests, consulting with business stakeholders, prioritizing development, and completing and documenting models. It provides developmental evidence for statistical assumptions in modeling methodology and contributes to model enhancements, process automation, testing, scenario analysis, and ongoing review. The position collaborates with internal Capital, Allowance for Credit Losses, Technology, and Model Risk Management groups to improve model transparency and analytics capabilities. The AVP presents quantitative results clearly, develops and documents model monitoring plans, monitors model performance, and responds to inquiries from internal and external validators and regulators to support conceptual soundness, accuracy, and robustness. This is a hybrid role based in Rosemont, Illinois, requiring attendance in the office once a week, with some telecommuting flexibility.

Requirements

Master's degree in Mathematics, Economics, Data Science, Operations Research, Statistics, or a related field.
At least 2 years of experience in a related occupation.
2 years of experience in model design, development, documentation, and compliance aspects of quantitative models.
2 years of statistical programming experience with Python, SQL, and VBA.
2 years of comprehensive business and technical knowledge of credit risk management methodologies and techniques.
2 years of experience with CCAR, DFAST, or CECL.
2 years of experience using mathematical modeling to solve business problems in forecasting customer saving, lending, investing, and borrowing behaviors for consumer and commercial financial products, such as mortgages and commercial loans.
2 years of experience with credit risk evaluation, including qualitative and quantitative approaches, linear and logistic regressions, predictive modeling, time series analysis, back-testing, and in-sample and out-of-sample forecasting.
2 years of experience with regulatory model compliance, including stress testing and model validation.

Responsibilities

Develop quantitative and econometric models and applications supporting credit risk and market risk assessment and regulatory capital requirements.
Manage the model development process end to end, from assessing requests and consulting with the business through prioritization, development, and documentation.
Provide developmental evidence concerning statistical assumptions in modeling methodology.
Work with team members to define model enhancements and changes, automate processes, perform testing and scenario analysis, and conduct ongoing review and analysis.
Collaborate with Capital, Allowance for Credit Losses, Technology, and Model Risk Management groups to improve model transparency and analytics capabilities.
Present quantitative results clearly and discuss statistical and quantitative concepts coherently.
Develop and document model monitoring plans and monitor statistical model performance.
Respond to inquiries and scrutiny from internal and external validators and regulators to ensure model conceptual soundness, accuracy, and robustness.